University of Oulu

M. E. Gortney et al., "Visualizing Microservice Architecture in the Dynamic Perspective: A Systematic Mapping Study," in IEEE Access, vol. 10, pp. 119999-120012, 2022, doi: 10.1109/ACCESS.2022.3221130

Visualizing microservice architecture in the dynamic perspective : a systematic mapping study

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Author: Gortney, Mia E.1; Harris, Patrick E.1; Cerny, Tomas1;
Organizations: 1Computer Science Department, Baylor University, Waco, TX, USA
2Computer Science Department, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
3M3S Group, University of Oulu, Oulu, Finland
4Cloudsea Group, Tampere University, Tampere, Finland
5Red Hat, Brno, Czech Republic
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2.4 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2023-06-09


As microservices become more popular, more drawbacks become apparent to developers. One issue that many teams face today is the failure to visualize the entire system architecture holistically. Without a full view of the system, the architecture can become convoluted as teams add and subtract from their system without reconciling their changes. One established practice to determine a view on the entire system involves dynamic analysis of microservice interaction and dependencies. In this mapping study, we investigate dynamic analysis as a way to visualize system architecture. Capturing the architectural view with dynamic analysis has the ability to build the system and then show its behavior at run-time. We identify dynamic analysis techniques, the corresponding tools, and the models that these practices can generate. The findings of this study are relevant to developers of decentralized systems looking for a way to visualize their system architecture in a dynamic perspective.

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Series: IEEE access
ISSN: 2169-3536
ISSN-E: 2169-3536
ISSN-L: 2169-3536
Volume: 10
Pages: 119999 - 120012
DOI: 10.1109/ACCESS.2022.3221130
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
Funding: This work was supported in part by the National Science Foundation under Grant 1854049, in part by the Red Hat Research, in part by the Ulla Tuominen Foundation (Finland), and in part by the Academy of Finland under Grant 349488-MuFAno.
Academy of Finland Grant Number: 349488
Detailed Information: 349488 (Academy of Finland Funding decision)
Copyright information: © The Author(s) 2022. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see